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<title>Doxygen: pcl::FilterIndices&lt; pcl::PCLPointCloud2 &gt;类 参考</title>
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<a href="#pub-types">Public 类型</a> &#124;
<a href="#pub-methods">Public 成员函数</a> &#124;
<a href="#pro-methods">Protected 成员函数</a> &#124;
<a href="#pro-attribs">Protected 属性</a> &#124;
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<div class="title">pcl::FilterIndices&lt; pcl::PCLPointCloud2 &gt;类 参考<span class="mlabels"><span class="mlabel">abstract</span></span></div>  </div>
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<p><b><a class="el" href="classpcl_1_1_filter_indices.html" title="FilterIndices represents the base class for filters that are about binary point removal....">FilterIndices</a></b> represents the base class for filters that are about binary point removal. <br  />
 All derived classes have to implement the <em>filter</em> (<a class="el" href="classpcl_1_1_point_cloud.html" title="PointCloud represents the base class in PCL for storing collections of 3D points.">PointCloud</a> &amp;output) and the <em>filter</em> (std::vector&lt;int&gt; &amp;indices) methods. Ideally they also make use of the <em>negative_</em>, <em>keep_organized_</em> and <em>extract_removed_indices_</em> systems. The distinguishment between the <em>negative_</em> and <em>extract_removed_indices_</em> systems only makes sense if the class automatically filters non-finite entries in the filtering methods (recommended).  
 <a href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#details">更多...</a></p>

<p><code>#include &lt;<a class="el" href="filter__indices_8h_source.html">filter_indices.h</a>&gt;</code></p>
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类 pcl::FilterIndices&lt; pcl::PCLPointCloud2 &gt; 继承关系图:</div>
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  <img src="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.png" usemap="#pcl::FilterIndices_3C_20pcl::PCLPointCloud2_20_3E_map" alt=""/>
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<area href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html" title="Filter represents the base filter class. All filters must inherit from this interface." alt="pcl::Filter&lt; pcl::PCLPointCloud2 &gt;" shape="rect" coords="270,56,530,80"/>
<area href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html" alt="pcl::PCLBase&lt; pcl::PCLPointCloud2 &gt;" shape="rect" coords="270,0,530,24"/>
<area href="classpcl_1_1_crop_box_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html" title="CropBox is a filter that allows the user to filter all the data inside of a given box." alt="pcl::CropBox&lt; pcl::PCLPointCloud2 &gt;" shape="rect" coords="0,168,260,192"/>
<area href="classpcl_1_1_extract_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html" title="ExtractIndices extracts a set of indices from a point cloud.   Usage examples:" alt="pcl::ExtractIndices&lt; pcl::PCLPointCloud2 &gt;" shape="rect" coords="270,168,530,192"/>
<area href="classpcl_1_1_random_sample_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html" title="RandomSample applies a random sampling with uniform probability." alt="pcl::RandomSample&lt; pcl::PCLPointCloud2 &gt;" shape="rect" coords="540,168,800,192"/>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public 类型</h2></td></tr>
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typedef <a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">pcl::PCLPointCloud2</a>&#160;</td><td class="memItemRight" valign="bottom"><b>PCLPointCloud2</b></td></tr>
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typedef boost::shared_ptr&lt; const <a class="el" href="classpcl_1_1_filter.html">Filter</a>&lt; <a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">pcl::PCLPointCloud2</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>ConstPtr</b></td></tr>
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typedef <a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">pcl::PCLPointCloud2</a>&#160;</td><td class="memItemRight" valign="bottom"><b>PCLPointCloud2</b></td></tr>
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typedef PCLPointCloud2::Ptr&#160;</td><td class="memItemRight" valign="bottom"><b>PCLPointCloud2Ptr</b></td></tr>
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typedef PCLPointCloud2::ConstPtr&#160;</td><td class="memItemRight" valign="bottom"><b>PCLPointCloud2ConstPtr</b></td></tr>
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<tr class="inherit_header pub_types_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4')"><img src="closed.png" alt="-"/>&#160;Public 类型 继承自 <a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html">pcl::PCLBase&lt; pcl::PCLPointCloud2 &gt;</a></td></tr>
<tr class="memitem:aa6e6ccfdbf9cf653faf7e43e3b219446 inherit pub_types_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="aa6e6ccfdbf9cf653faf7e43e3b219446"></a>
typedef <a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">pcl::PCLPointCloud2</a>&#160;</td><td class="memItemRight" valign="bottom"><b>PCLPointCloud2</b></td></tr>
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<tr class="memitem:ac36bda39ea0d4406734b493eeb73ab9d inherit pub_types_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="ac36bda39ea0d4406734b493eeb73ab9d"></a>
typedef boost::shared_ptr&lt; <a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">PCLPointCloud2</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>PCLPointCloud2Ptr</b></td></tr>
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typedef boost::shared_ptr&lt; <a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">PCLPointCloud2</a> const  &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>PCLPointCloud2ConstPtr</b></td></tr>
<tr class="separator:ae35b98bfd019c88c21fa6ab6b02cad04 inherit pub_types_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
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typedef boost::shared_ptr&lt; <a class="el" href="structpcl_1_1_point_indices.html">PointIndices</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>PointIndicesPtr</b></td></tr>
<tr class="separator:ac1833d8462965f44b95d901f8e99232e inherit pub_types_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
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typedef boost::shared_ptr&lt; <a class="el" href="structpcl_1_1_point_indices.html">PointIndices</a> const  &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>PointIndicesConstPtr</b></td></tr>
<tr class="separator:ae12a505b76b68950cadeb3de1b8261ff inherit pub_types_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public 成员函数</h2></td></tr>
<tr class="memitem:a9440df20ca3cf50e6d2f95d6b9bd39b7"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a9440df20ca3cf50e6d2f95d6b9bd39b7">FilterIndices</a> (bool extract_removed_indices=false)</td></tr>
<tr class="memdesc:a9440df20ca3cf50e6d2f95d6b9bd39b7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a9440df20ca3cf50e6d2f95d6b9bd39b7">更多...</a><br /></td></tr>
<tr class="separator:a9440df20ca3cf50e6d2f95d6b9bd39b7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a74714c558dcca328c547280661ea6dc6"><td class="memItemLeft" align="right" valign="top"><a id="a74714c558dcca328c547280661ea6dc6"></a>
virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a74714c558dcca328c547280661ea6dc6">~FilterIndices</a> ()</td></tr>
<tr class="memdesc:a74714c558dcca328c547280661ea6dc6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Empty virtual destructor. <br /></td></tr>
<tr class="separator:a74714c558dcca328c547280661ea6dc6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af994286fae6a93459874110bfc96707e"><td class="memItemLeft" align="right" valign="top"><a id="af994286fae6a93459874110bfc96707e"></a>
virtual void&#160;</td><td class="memItemRight" valign="bottom"><b>filter</b> (<a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">PCLPointCloud2</a> &amp;output)</td></tr>
<tr class="separator:af994286fae6a93459874110bfc96707e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6b5e8205afd50eb785f77cd17162ccb5"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a6b5e8205afd50eb785f77cd17162ccb5">filter</a> (std::vector&lt; int &gt; &amp;indices)</td></tr>
<tr class="memdesc:a6b5e8205afd50eb785f77cd17162ccb5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Calls the filtering method and returns the filtered point cloud indices.  <a href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a6b5e8205afd50eb785f77cd17162ccb5">更多...</a><br /></td></tr>
<tr class="separator:a6b5e8205afd50eb785f77cd17162ccb5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a15d2ae401a480177249984f3ab832d83"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a15d2ae401a480177249984f3ab832d83">setNegative</a> (bool negative)</td></tr>
<tr class="memdesc:a15d2ae401a480177249984f3ab832d83"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set whether the regular conditions for points filtering should apply, or the inverted conditions.  <a href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a15d2ae401a480177249984f3ab832d83">更多...</a><br /></td></tr>
<tr class="separator:a15d2ae401a480177249984f3ab832d83"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a165be3fe78a7b9af5062d94ea538a690"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a165be3fe78a7b9af5062d94ea538a690">getNegative</a> ()</td></tr>
<tr class="memdesc:a165be3fe78a7b9af5062d94ea538a690"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get whether the regular conditions for points filtering should apply, or the inverted conditions.  <a href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a165be3fe78a7b9af5062d94ea538a690">更多...</a><br /></td></tr>
<tr class="separator:a165be3fe78a7b9af5062d94ea538a690"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ade8512311ff91deab30413cf562d079d"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ade8512311ff91deab30413cf562d079d">setKeepOrganized</a> (bool keep_organized)</td></tr>
<tr class="memdesc:ade8512311ff91deab30413cf562d079d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set whether the filtered points should be kept and set to the value given through <em>setUserFilterValue</em> (default: NaN), or removed from the <a class="el" href="classpcl_1_1_point_cloud.html" title="PointCloud represents the base class in PCL for storing collections of 3D points.">PointCloud</a>, thus potentially breaking its organized structure.  <a href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ade8512311ff91deab30413cf562d079d">更多...</a><br /></td></tr>
<tr class="separator:ade8512311ff91deab30413cf562d079d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0b04a6335d60a2a10b7ca15055f52e08"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a0b04a6335d60a2a10b7ca15055f52e08">getKeepOrganized</a> ()</td></tr>
<tr class="memdesc:a0b04a6335d60a2a10b7ca15055f52e08"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get whether the filtered points should be kept and set to the value given through <em>setUserFilterValue</em> (default = NaN), or removed from the <a class="el" href="classpcl_1_1_point_cloud.html" title="PointCloud represents the base class in PCL for storing collections of 3D points.">PointCloud</a>, thus potentially breaking its organized structure.  <a href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a0b04a6335d60a2a10b7ca15055f52e08">更多...</a><br /></td></tr>
<tr class="separator:a0b04a6335d60a2a10b7ca15055f52e08"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a19c25ebf933b8c147b775ba7e8ef4008"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a19c25ebf933b8c147b775ba7e8ef4008">setUserFilterValue</a> (float value)</td></tr>
<tr class="memdesc:a19c25ebf933b8c147b775ba7e8ef4008"><td class="mdescLeft">&#160;</td><td class="mdescRight">Provide a value that the filtered points should be set to instead of removing them. Used in conjunction with <em>setKeepOrganized</em> ().  <a href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a19c25ebf933b8c147b775ba7e8ef4008">更多...</a><br /></td></tr>
<tr class="separator:a19c25ebf933b8c147b775ba7e8ef4008"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4')"><img src="closed.png" alt="-"/>&#160;Public 成员函数 继承自 <a class="el" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html">pcl::Filter&lt; pcl::PCLPointCloud2 &gt;</a></td></tr>
<tr class="memitem:a273249107c757fededc0d4b272f92f18 inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a273249107c757fededc0d4b272f92f18">Filter</a> (bool extract_removed_indices=false)</td></tr>
<tr class="memdesc:a273249107c757fededc0d4b272f92f18 inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Empty constructor.  <a href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a273249107c757fededc0d4b272f92f18">更多...</a><br /></td></tr>
<tr class="separator:a273249107c757fededc0d4b272f92f18 inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a333be03190976e5f4c36b07c49017c0f inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a333be03190976e5f4c36b07c49017c0f"></a>
virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a333be03190976e5f4c36b07c49017c0f">~Filter</a> ()</td></tr>
<tr class="memdesc:a333be03190976e5f4c36b07c49017c0f inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Empty destructor <br /></td></tr>
<tr class="separator:a333be03190976e5f4c36b07c49017c0f inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a55e682f695f70ba230819624b702d490 inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a55e682f695f70ba230819624b702d490"></a>
IndicesConstPtr const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a55e682f695f70ba230819624b702d490">getRemovedIndices</a> ()</td></tr>
<tr class="memdesc:a55e682f695f70ba230819624b702d490 inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the point indices being removed <br /></td></tr>
<tr class="separator:a55e682f695f70ba230819624b702d490 inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aed3e1689bc4ca18260c8864f6cc0c620 inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#aed3e1689bc4ca18260c8864f6cc0c620">getRemovedIndices</a> (<a class="el" href="structpcl_1_1_point_indices.html">PointIndices</a> &amp;pi)</td></tr>
<tr class="memdesc:aed3e1689bc4ca18260c8864f6cc0c620 inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the point indices being removed  <a href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#aed3e1689bc4ca18260c8864f6cc0c620">更多...</a><br /></td></tr>
<tr class="separator:aed3e1689bc4ca18260c8864f6cc0c620 inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3147f5d856f0b94f2df5b580a5cfef4f inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a3147f5d856f0b94f2df5b580a5cfef4f">filter</a> (<a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">PCLPointCloud2</a> &amp;output)</td></tr>
<tr class="memdesc:a3147f5d856f0b94f2df5b580a5cfef4f inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Calls the filtering method and returns the filtered dataset in output.  <a href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a3147f5d856f0b94f2df5b580a5cfef4f">更多...</a><br /></td></tr>
<tr class="separator:a3147f5d856f0b94f2df5b580a5cfef4f inherit pub_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4')"><img src="closed.png" alt="-"/>&#160;Public 成员函数 继承自 <a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html">pcl::PCLBase&lt; pcl::PCLPointCloud2 &gt;</a></td></tr>
<tr class="memitem:a5a7c520d0b7e55dac37233398b1f73a9 inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a5a7c520d0b7e55dac37233398b1f73a9"></a>
&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a5a7c520d0b7e55dac37233398b1f73a9">PCLBase</a> ()</td></tr>
<tr class="memdesc:a5a7c520d0b7e55dac37233398b1f73a9 inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Empty constructor. <br /></td></tr>
<tr class="separator:a5a7c520d0b7e55dac37233398b1f73a9 inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abfd692c3a729d6ae71abd6932e0bdb05 inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="abfd692c3a729d6ae71abd6932e0bdb05"></a>
virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#abfd692c3a729d6ae71abd6932e0bdb05">~PCLBase</a> ()</td></tr>
<tr class="memdesc:abfd692c3a729d6ae71abd6932e0bdb05 inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">destructor. <br /></td></tr>
<tr class="separator:abfd692c3a729d6ae71abd6932e0bdb05 inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a89fd19a5d925d75f66ae4cbd137463ad inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a89fd19a5d925d75f66ae4cbd137463ad">setInputCloud</a> (const PCLPointCloud2ConstPtr &amp;cloud)</td></tr>
<tr class="memdesc:a89fd19a5d925d75f66ae4cbd137463ad inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Provide a pointer to the input dataset  <a href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a89fd19a5d925d75f66ae4cbd137463ad">更多...</a><br /></td></tr>
<tr class="separator:a89fd19a5d925d75f66ae4cbd137463ad inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa73a0e83b1b1c561eccb6617a4f887bb inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="aa73a0e83b1b1c561eccb6617a4f887bb"></a>
PCLPointCloud2ConstPtr const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#aa73a0e83b1b1c561eccb6617a4f887bb">getInputCloud</a> ()</td></tr>
<tr class="memdesc:aa73a0e83b1b1c561eccb6617a4f887bb inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get a pointer to the input point cloud dataset. <br /></td></tr>
<tr class="separator:aa73a0e83b1b1c561eccb6617a4f887bb inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a375319f0863acd9dc9e980b6c8ef2c70 inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a375319f0863acd9dc9e980b6c8ef2c70">setIndices</a> (const IndicesPtr &amp;indices)</td></tr>
<tr class="memdesc:a375319f0863acd9dc9e980b6c8ef2c70 inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Provide a pointer to the vector of indices that represents the input data.  <a href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a375319f0863acd9dc9e980b6c8ef2c70">更多...</a><br /></td></tr>
<tr class="separator:a375319f0863acd9dc9e980b6c8ef2c70 inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a216717095c1f35295c9ed488c171dbce inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a216717095c1f35295c9ed488c171dbce">setIndices</a> (const PointIndicesConstPtr &amp;indices)</td></tr>
<tr class="memdesc:a216717095c1f35295c9ed488c171dbce inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Provide a pointer to the vector of indices that represents the input data.  <a href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a216717095c1f35295c9ed488c171dbce">更多...</a><br /></td></tr>
<tr class="separator:a216717095c1f35295c9ed488c171dbce inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a61a768e0a9289c5fbfc5cfa778f7b582 inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a61a768e0a9289c5fbfc5cfa778f7b582"></a>
IndicesPtr const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a61a768e0a9289c5fbfc5cfa778f7b582">getIndices</a> ()</td></tr>
<tr class="memdesc:a61a768e0a9289c5fbfc5cfa778f7b582 inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get a pointer to the vector of indices used. <br /></td></tr>
<tr class="separator:a61a768e0a9289c5fbfc5cfa778f7b582 inherit pub_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
Protected 成员函数</h2></td></tr>
<tr class="memitem:a7975e7f871539a99c033173d557b31b4"><td class="memItemLeft" align="right" valign="top"><a id="a7975e7f871539a99c033173d557b31b4"></a>
virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a7975e7f871539a99c033173d557b31b4">applyFilter</a> (std::vector&lt; int &gt; &amp;indices)=0</td></tr>
<tr class="memdesc:a7975e7f871539a99c033173d557b31b4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Abstract filter method for point cloud indices. <br /></td></tr>
<tr class="separator:a7975e7f871539a99c033173d557b31b4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4d1883a4d367708ddb416314b0c2046a"><td class="memItemLeft" align="right" valign="top"><a id="a4d1883a4d367708ddb416314b0c2046a"></a>
virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a4d1883a4d367708ddb416314b0c2046a">applyFilter</a> (<a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">PCLPointCloud2</a> &amp;output)=0</td></tr>
<tr class="memdesc:a4d1883a4d367708ddb416314b0c2046a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Abstract filter method for point cloud. <br /></td></tr>
<tr class="separator:a4d1883a4d367708ddb416314b0c2046a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pro_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4')"><img src="closed.png" alt="-"/>&#160;Protected 成员函数 继承自 <a class="el" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html">pcl::Filter&lt; pcl::PCLPointCloud2 &gt;</a></td></tr>
<tr class="memitem:a68333c94da1dab84ff20c42fe49805e0 inherit pro_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a68333c94da1dab84ff20c42fe49805e0"></a>
const std::string &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a68333c94da1dab84ff20c42fe49805e0">getClassName</a> () const</td></tr>
<tr class="memdesc:a68333c94da1dab84ff20c42fe49805e0 inherit pro_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get a string representation of the name of this class. <br /></td></tr>
<tr class="separator:a68333c94da1dab84ff20c42fe49805e0 inherit pro_methods_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pro_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4')"><img src="closed.png" alt="-"/>&#160;Protected 成员函数 继承自 <a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html">pcl::PCLBase&lt; pcl::PCLPointCloud2 &gt;</a></td></tr>
<tr class="memitem:a4fd5aeb18cda4a3f8f43109376f110a0 inherit pro_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a4fd5aeb18cda4a3f8f43109376f110a0"></a>
bool&#160;</td><td class="memItemRight" valign="bottom"><b>initCompute</b> ()</td></tr>
<tr class="separator:a4fd5aeb18cda4a3f8f43109376f110a0 inherit pro_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa38aad0389c18fe7756859e5feb43cbd inherit pro_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="aa38aad0389c18fe7756859e5feb43cbd"></a>
bool&#160;</td><td class="memItemRight" valign="bottom"><b>deinitCompute</b> ()</td></tr>
<tr class="separator:aa38aad0389c18fe7756859e5feb43cbd inherit pro_methods_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-attribs"></a>
Protected 属性</h2></td></tr>
<tr class="memitem:ada0f93dc0663500de078db46d9f91a8b"><td class="memItemLeft" align="right" valign="top"><a id="ada0f93dc0663500de078db46d9f91a8b"></a>
bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ada0f93dc0663500de078db46d9f91a8b">negative_</a></td></tr>
<tr class="memdesc:ada0f93dc0663500de078db46d9f91a8b"><td class="mdescLeft">&#160;</td><td class="mdescRight">False = normal filter behavior (default), true = inverted behavior. <br /></td></tr>
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<tr class="memitem:a6202a1282bc2819455dd28a0b908d3f2"><td class="memItemLeft" align="right" valign="top"><a id="a6202a1282bc2819455dd28a0b908d3f2"></a>
bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a6202a1282bc2819455dd28a0b908d3f2">keep_organized_</a></td></tr>
<tr class="memdesc:a6202a1282bc2819455dd28a0b908d3f2"><td class="mdescLeft">&#160;</td><td class="mdescRight">False = remove points (default), true = redefine points, keep structure. <br /></td></tr>
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float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a05f112aa6c4bd787abcc7f5b46f2115e">user_filter_value_</a></td></tr>
<tr class="memdesc:a05f112aa6c4bd787abcc7f5b46f2115e"><td class="mdescLeft">&#160;</td><td class="mdescRight">The user given value that the filtered point dimensions should be set to (default = NaN). <br /></td></tr>
<tr class="separator:a05f112aa6c4bd787abcc7f5b46f2115e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pro_attribs_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4')"><img src="closed.png" alt="-"/>&#160;Protected 属性 继承自 <a class="el" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html">pcl::Filter&lt; pcl::PCLPointCloud2 &gt;</a></td></tr>
<tr class="memitem:a90d5e2518ab1617b9bbcf3e3b29c8f0b inherit pro_attribs_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a90d5e2518ab1617b9bbcf3e3b29c8f0b"></a>
IndicesPtr&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a90d5e2518ab1617b9bbcf3e3b29c8f0b">removed_indices_</a></td></tr>
<tr class="memdesc:a90d5e2518ab1617b9bbcf3e3b29c8f0b inherit pro_attribs_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Indices of the points that are removed <br /></td></tr>
<tr class="separator:a90d5e2518ab1617b9bbcf3e3b29c8f0b inherit pro_attribs_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac708d4fce7c7de7f09b618517d405302 inherit pro_attribs_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="ac708d4fce7c7de7f09b618517d405302"></a>
bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ac708d4fce7c7de7f09b618517d405302">extract_removed_indices_</a></td></tr>
<tr class="memdesc:ac708d4fce7c7de7f09b618517d405302 inherit pro_attribs_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set to true if we want to return the indices of the removed points. <br /></td></tr>
<tr class="separator:ac708d4fce7c7de7f09b618517d405302 inherit pro_attribs_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2f60fda33e06540e7a33118dc856dd95 inherit pro_attribs_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a2f60fda33e06540e7a33118dc856dd95"></a>
std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a2f60fda33e06540e7a33118dc856dd95">filter_name_</a></td></tr>
<tr class="memdesc:a2f60fda33e06540e7a33118dc856dd95 inherit pro_attribs_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">The filter name. <br /></td></tr>
<tr class="separator:a2f60fda33e06540e7a33118dc856dd95 inherit pro_attribs_classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4')"><img src="closed.png" alt="-"/>&#160;Protected 属性 继承自 <a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html">pcl::PCLBase&lt; pcl::PCLPointCloud2 &gt;</a></td></tr>
<tr class="memitem:a3fbe484acd2de536fcecc05106e8f957 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a3fbe484acd2de536fcecc05106e8f957"></a>
PCLPointCloud2ConstPtr&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a3fbe484acd2de536fcecc05106e8f957">input_</a></td></tr>
<tr class="memdesc:a3fbe484acd2de536fcecc05106e8f957 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">The input point cloud dataset. <br /></td></tr>
<tr class="separator:a3fbe484acd2de536fcecc05106e8f957 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a44e83e2342c83d9e2b3bbae6b0fa3496 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a44e83e2342c83d9e2b3bbae6b0fa3496"></a>
IndicesPtr&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a44e83e2342c83d9e2b3bbae6b0fa3496">indices_</a></td></tr>
<tr class="memdesc:a44e83e2342c83d9e2b3bbae6b0fa3496 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">A pointer to the vector of point indices to use. <br /></td></tr>
<tr class="separator:a44e83e2342c83d9e2b3bbae6b0fa3496 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3fa3b4f5be8bf38d21dabb00c27a9699 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a3fa3b4f5be8bf38d21dabb00c27a9699"></a>
bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a3fa3b4f5be8bf38d21dabb00c27a9699">use_indices_</a></td></tr>
<tr class="memdesc:a3fa3b4f5be8bf38d21dabb00c27a9699 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set to true if point indices are used. <br /></td></tr>
<tr class="separator:a3fa3b4f5be8bf38d21dabb00c27a9699 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a135a5262e52bf9ab4a0e2ce94892edfc inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a135a5262e52bf9ab4a0e2ce94892edfc"></a>
bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a135a5262e52bf9ab4a0e2ce94892edfc">fake_indices_</a></td></tr>
<tr class="memdesc:a135a5262e52bf9ab4a0e2ce94892edfc inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">If no set of indices are given, we construct a set of fake indices that mimic the input <a class="el" href="classpcl_1_1_point_cloud.html" title="PointCloud represents the base class in PCL for storing collections of 3D points.">PointCloud</a>. <br /></td></tr>
<tr class="separator:a135a5262e52bf9ab4a0e2ce94892edfc inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a18ff8830a0f9b0e6e887b40f5aa893b9 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a18ff8830a0f9b0e6e887b40f5aa893b9"></a>
std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a18ff8830a0f9b0e6e887b40f5aa893b9">field_sizes_</a></td></tr>
<tr class="memdesc:a18ff8830a0f9b0e6e887b40f5aa893b9 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">The size of each individual field. <br /></td></tr>
<tr class="separator:a18ff8830a0f9b0e6e887b40f5aa893b9 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aae47b8f3fd14aaa8a9f6b95e4bc2504e inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="aae47b8f3fd14aaa8a9f6b95e4bc2504e"></a>
int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#aae47b8f3fd14aaa8a9f6b95e4bc2504e">x_idx_</a></td></tr>
<tr class="memdesc:aae47b8f3fd14aaa8a9f6b95e4bc2504e inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">The x-y-z fields indices. <br /></td></tr>
<tr class="separator:aae47b8f3fd14aaa8a9f6b95e4bc2504e inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae08af4033df92384b827a7d80c0ddb35 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="ae08af4033df92384b827a7d80c0ddb35"></a>
int&#160;</td><td class="memItemRight" valign="bottom"><b>y_idx_</b></td></tr>
<tr class="separator:ae08af4033df92384b827a7d80c0ddb35 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac75b45a68784da57d157c6b7fac6d1e3 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="ac75b45a68784da57d157c6b7fac6d1e3"></a>
int&#160;</td><td class="memItemRight" valign="bottom"><b>z_idx_</b></td></tr>
<tr class="separator:ac75b45a68784da57d157c6b7fac6d1e3 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a71534c52dd4516ae5a481cea6a4ef6c8 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a71534c52dd4516ae5a481cea6a4ef6c8"></a>
std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a71534c52dd4516ae5a481cea6a4ef6c8">x_field_name_</a></td></tr>
<tr class="memdesc:a71534c52dd4516ae5a481cea6a4ef6c8 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="mdescLeft">&#160;</td><td class="mdescRight">The desired x-y-z field names. <br /></td></tr>
<tr class="separator:a71534c52dd4516ae5a481cea6a4ef6c8 inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4d1beec85a6002d35d1581842114514c inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a4d1beec85a6002d35d1581842114514c"></a>
std::string&#160;</td><td class="memItemRight" valign="bottom"><b>y_field_name_</b></td></tr>
<tr class="separator:a4d1beec85a6002d35d1581842114514c inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a661eeb2543eb8aafb5232a0fab280c1b inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memItemLeft" align="right" valign="top"><a id="a661eeb2543eb8aafb5232a0fab280c1b"></a>
std::string&#160;</td><td class="memItemRight" valign="bottom"><b>z_field_name_</b></td></tr>
<tr class="separator:a661eeb2543eb8aafb5232a0fab280c1b inherit pro_attribs_classpcl_1_1_p_c_l_base_3_01pcl_1_1_p_c_l_point_cloud2_01_4"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">详细描述</h2>
<div class="textblock"><p><b><a class="el" href="classpcl_1_1_filter_indices.html" title="FilterIndices represents the base class for filters that are about binary point removal....">FilterIndices</a></b> represents the base class for filters that are about binary point removal. <br  />
 All derived classes have to implement the <em>filter</em> (<a class="el" href="classpcl_1_1_point_cloud.html" title="PointCloud represents the base class in PCL for storing collections of 3D points.">PointCloud</a> &amp;output) and the <em>filter</em> (std::vector&lt;int&gt; &amp;indices) methods. Ideally they also make use of the <em>negative_</em>, <em>keep_organized_</em> and <em>extract_removed_indices_</em> systems. The distinguishment between the <em>negative_</em> and <em>extract_removed_indices_</em> systems only makes sense if the class automatically filters non-finite entries in the filtering methods (recommended). </p>
<dl class="section author"><dt>作者</dt><dd>Justin Rosen </dd></dl>
</div><h2 class="groupheader">构造及析构函数说明</h2>
<a id="a9440df20ca3cf50e6d2f95d6b9bd39b7"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a9440df20ca3cf50e6d2f95d6b9bd39b7">&#9670;&nbsp;</a></span>FilterIndices()</h2>

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          <td class="memname"><a class="el" href="classpcl_1_1_filter_indices.html">pcl::FilterIndices</a>&lt; <a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">pcl::PCLPointCloud2</a> &gt;::<a class="el" href="classpcl_1_1_filter_indices.html">FilterIndices</a> </td>
          <td>(</td>
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          <td class="paramname"><em>extract_removed_indices</em> = <code>false</code></td><td>)</td>
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<p>Constructor. </p>
<dl class="params"><dt>参数</dt><dd>
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    <tr><td class="paramdir">[in]</td><td class="paramname">extract_removed_indices</td><td>Set to true if you want to extract the indices of points being removed (default = false). </td></tr>
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<div class="fragment"><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;                                                           :</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;          <a class="code" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ada0f93dc0663500de078db46d9f91a8b">negative_</a> (<span class="keyword">false</span>), </div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;          <a class="code" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a6202a1282bc2819455dd28a0b908d3f2">keep_organized_</a> (<span class="keyword">false</span>), </div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;          <a class="code" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a05f112aa6c4bd787abcc7f5b46f2115e">user_filter_value_</a> (std::numeric_limits&lt;float&gt;::quiet_NaN ())</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;      {</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;        <a class="code" href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ac708d4fce7c7de7f09b618517d405302">extract_removed_indices_</a> = extract_removed_indices;</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;      }</div>
<div class="ttc" id="aclasspcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_ac708d4fce7c7de7f09b618517d405302"><div class="ttname"><a href="classpcl_1_1_filter_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ac708d4fce7c7de7f09b618517d405302">pcl::Filter&lt; pcl::PCLPointCloud2 &gt;::extract_removed_indices_</a></div><div class="ttdeci">bool extract_removed_indices_</div><div class="ttdoc">Set to true if we want to return the indices of the removed points.</div><div class="ttdef"><b>Definition:</b> filter.h:246</div></div>
<div class="ttc" id="aclasspcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_a05f112aa6c4bd787abcc7f5b46f2115e"><div class="ttname"><a href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a05f112aa6c4bd787abcc7f5b46f2115e">pcl::FilterIndices&lt; pcl::PCLPointCloud2 &gt;::user_filter_value_</a></div><div class="ttdeci">float user_filter_value_</div><div class="ttdoc">The user given value that the filtered point dimensions should be set to (default = NaN).</div><div class="ttdef"><b>Definition:</b> filter_indices.h:296</div></div>
<div class="ttc" id="aclasspcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_a6202a1282bc2819455dd28a0b908d3f2"><div class="ttname"><a href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a6202a1282bc2819455dd28a0b908d3f2">pcl::FilterIndices&lt; pcl::PCLPointCloud2 &gt;::keep_organized_</a></div><div class="ttdeci">bool keep_organized_</div><div class="ttdoc">False = remove points (default), true = redefine points, keep structure.</div><div class="ttdef"><b>Definition:</b> filter_indices.h:293</div></div>
<div class="ttc" id="aclasspcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_ada0f93dc0663500de078db46d9f91a8b"><div class="ttname"><a href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ada0f93dc0663500de078db46d9f91a8b">pcl::FilterIndices&lt; pcl::PCLPointCloud2 &gt;::negative_</a></div><div class="ttdeci">bool negative_</div><div class="ttdoc">False = normal filter behavior (default), true = inverted behavior.</div><div class="ttdef"><b>Definition:</b> filter_indices.h:290</div></div>
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<h2 class="groupheader">成员函数说明</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a6b5e8205afd50eb785f77cd17162ccb5">&#9670;&nbsp;</a></span>filter()</h2>

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          <td class="memname">void <a class="el" href="classpcl_1_1_filter_indices.html">pcl::FilterIndices</a>&lt; <a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">pcl::PCLPointCloud2</a> &gt;::filter </td>
          <td>(</td>
          <td class="paramtype">std::vector&lt; int &gt; &amp;&#160;</td>
          <td class="paramname"><em>indices</em></td><td>)</td>
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<p>Calls the filtering method and returns the filtered point cloud indices. </p>
<dl class="params"><dt>参数</dt><dd>
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    <tr><td class="paramdir">[out]</td><td class="paramname">indices</td><td>the resultant filtered point cloud indices </td></tr>
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<h2 class="memtitle"><span class="permalink"><a href="#a0b04a6335d60a2a10b7ca15055f52e08">&#9670;&nbsp;</a></span>getKeepOrganized()</h2>

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          <td class="memname">bool <a class="el" href="classpcl_1_1_filter_indices.html">pcl::FilterIndices</a>&lt; <a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">pcl::PCLPointCloud2</a> &gt;::getKeepOrganized </td>
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<p>Get whether the filtered points should be kept and set to the value given through <em>setUserFilterValue</em> (default = NaN), or removed from the <a class="el" href="classpcl_1_1_point_cloud.html" title="PointCloud represents the base class in PCL for storing collections of 3D points.">PointCloud</a>, thus potentially breaking its organized structure. </p>
<dl class="section return"><dt>返回</dt><dd>The value of the internal <em>keep_organized_</em> parameter; false = remove points (default), true = redefine points, keep structure. </dd></dl>
<div class="fragment"><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;      {</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;        <span class="keywordflow">return</span> (<a class="code" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a6202a1282bc2819455dd28a0b908d3f2">keep_organized_</a>);</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;      }</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a165be3fe78a7b9af5062d94ea538a690">&#9670;&nbsp;</a></span>getNegative()</h2>

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<p>Get whether the regular conditions for points filtering should apply, or the inverted conditions. </p>
<dl class="section return"><dt>返回</dt><dd>The value of the internal <em>negative_</em> parameter; false = normal filter behavior (default), true = inverted behavior. </dd></dl>
<div class="fragment"><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;      {</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;        <span class="keywordflow">return</span> (<a class="code" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ada0f93dc0663500de078db46d9f91a8b">negative_</a>);</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;      }</div>
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<h2 class="memtitle"><span class="permalink"><a href="#ade8512311ff91deab30413cf562d079d">&#9670;&nbsp;</a></span>setKeepOrganized()</h2>

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          <td class="memname">void <a class="el" href="classpcl_1_1_filter_indices.html">pcl::FilterIndices</a>&lt; <a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">pcl::PCLPointCloud2</a> &gt;::setKeepOrganized </td>
          <td>(</td>
          <td class="paramtype">bool&#160;</td>
          <td class="paramname"><em>keep_organized</em></td><td>)</td>
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<p>Set whether the filtered points should be kept and set to the value given through <em>setUserFilterValue</em> (default: NaN), or removed from the <a class="el" href="classpcl_1_1_point_cloud.html" title="PointCloud represents the base class in PCL for storing collections of 3D points.">PointCloud</a>, thus potentially breaking its organized structure. </p>
<dl class="params"><dt>参数</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">keep_organized</td><td>false = remove points (default), true = redefine points, keep structure. </td></tr>
  </table>
  </dd>
</dl>
<div class="fragment"><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;      {</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;        <a class="code" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a6202a1282bc2819455dd28a0b908d3f2">keep_organized_</a> = keep_organized;</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;      }</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a15d2ae401a480177249984f3ab832d83">&#9670;&nbsp;</a></span>setNegative()</h2>

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          <td class="memname">void <a class="el" href="classpcl_1_1_filter_indices.html">pcl::FilterIndices</a>&lt; <a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">pcl::PCLPointCloud2</a> &gt;::setNegative </td>
          <td>(</td>
          <td class="paramtype">bool&#160;</td>
          <td class="paramname"><em>negative</em></td><td>)</td>
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<p>Set whether the regular conditions for points filtering should apply, or the inverted conditions. </p>
<dl class="params"><dt>参数</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">negative</td><td>false = normal filter behavior (default), true = inverted behavior. </td></tr>
  </table>
  </dd>
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<div class="fragment"><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;      {</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;        <a class="code" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ada0f93dc0663500de078db46d9f91a8b">negative_</a> = negative;</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;      }</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a19c25ebf933b8c147b775ba7e8ef4008">&#9670;&nbsp;</a></span>setUserFilterValue()</h2>

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          <td class="memname">void <a class="el" href="classpcl_1_1_filter_indices.html">pcl::FilterIndices</a>&lt; <a class="el" href="structpcl_1_1_p_c_l_point_cloud2.html">pcl::PCLPointCloud2</a> &gt;::setUserFilterValue </td>
          <td>(</td>
          <td class="paramtype">float&#160;</td>
          <td class="paramname"><em>value</em></td><td>)</td>
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<p>Provide a value that the filtered points should be set to instead of removing them. Used in conjunction with <em>setKeepOrganized</em> (). </p>
<dl class="params"><dt>参数</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">value</td><td>the user given value that the filtered point dimensions should be set to (default = NaN). </td></tr>
  </table>
  </dd>
</dl>
<div class="fragment"><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;      {</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;        <a class="code" href="classpcl_1_1_filter_indices_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a05f112aa6c4bd787abcc7f5b46f2115e">user_filter_value_</a> = value;</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;      }</div>
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<hr/>该类的文档由以下文件生成:<ul>
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